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BrusselsHybrid40 hours/week6-12months
This assignment concerns a role within a technology company focused on data and AI solutions. You will work on exploring and validating new technologies and setting up robust data pipelines.
What you do
- Explore and validate new data and AI technologies through short-cycle feasibility projects.
- Design and implement scalable ETL processes and data pipelines.
- Integrate diverse data sources such as databases and APIs into the central analytics platform.
- Collaborate in multidisciplinary teams to test hypotheses and demonstrate technical potential.
- Maintain data consistency, quality, and reliability across the entire pipeline lifecycle.
- Implement Infrastructure as Code (IaC) to support and manage data environments.
What they ask
- Minimum 3 years of experience as a data engineer.
- Experience with Python, Java, or Scala for developing datastreams and ETL processes.
- Hands-on experience with Databricks, Spark, and PySpark for processing large datasets.
- Experience with data lake solutions such as Azure Data Lake or Delta Lake.
- Experience using DBT for data transformation and modeling.
- Experience with Terraform or Pulumi for IaC.
- Experience connecting data sources via REST APIs and various database systems.
- Proactive and solution-oriented in a fail-fast environment.
- Fluent in Dutch (C2 level).
- A Master's or Bachelor's degree.
Nice-to-haves.
- Familiarity with governmental data standards.
How to apply
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